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Network Hardening

An Automated Approach to Improving Network Security

  • Book
  • © 2014

Overview

Authors:
  1. Lingyu Wang

    1. Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada

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  2. Massimiliano Albanese

    1. Center for Secure Information Systems, George Mason University, Fairfax, USA

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    You can also search for this author in PubMed   Google Scholar

  3. Sushil Jajodia

    1. Center for Secure Information Systems, George Mason University, Fairfax, USA

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    You can also search for this author in PubMed   Google Scholar

Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-viii
    Download chapter PDF

  2. Introduction

    • Lingyu Wang, Massimiliano Albanese, Sushil Jajodia
    Pages 1-4

  3. Related Work

    • Lingyu Wang, Massimiliano Albanese, Sushil Jajodia
    Pages 5-13

  4. Attack Graph and Network Hardening

    • Lingyu Wang, Massimiliano Albanese, Sushil Jajodia
    Pages 15-22

  5. Minimum-Cost Network Hardening

    • Lingyu Wang, Massimiliano Albanese, Sushil Jajodia
    Pages 23-38

  6. Linear-Time Network Hardening

    • Lingyu Wang, Massimiliano Albanese, Sushil Jajodia
    Pages 39-58

  7. Conclusion

    • Lingyu Wang, Massimiliano Albanese, Sushil Jajodia
    Pages 59-60
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Keywords

About this book

This Springer Brief examines the tools based on attack graphs that help reveal network hardening threats. Existing tools detail all possible attack paths leading to critical network resources. Though no current tool provides a direct solution to remove the threats, they are a more efficient means of network defense than relying solely on the experience and skills of a human analyst. Key background information on attack graphs and network hardening helps readers understand the complexities of these tools and techniques. A common network hardening technique generates hardening solutions comprised of initially satisfied conditions, thereby making the solution more enforceable. Following a discussion of the complexity issues in this technique, the authors provide an improved technique that considers the dependencies between hardening options and employs a near-optimal approximation algorithm to scale linearly with the size of the inputs. Also included are automated solutions for hardening a network against sophisticated multi-step intrusions. Network Hardening: An Automated Approach to Improving Network Security is a valuable resource for researchers and professionals working in network security. It is also a useful tool for advanced-level students focused on security in computer science and electrical engineering.

Authors and Affiliations

  • Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada

    Lingyu Wang

  • Center for Secure Information Systems, George Mason University, Fairfax, USA

    Massimiliano Albanese, Sushil Jajodia

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